Table 7 Results of training and... | Emerald Publishing

Table 7

Results of training and prediction of all machine learning models

Model	logLoss	AUC	prAUC	Accuracy	Kappa	Sensitivity	Specificity
Results of the training dataset
ANNC	0.56	0.94	0.82	0.84	0.75	0.84	0.92
SVM	0.51	0.93	0.81	0.80	0.69	0.79	0.89
NBC	2.46	0.86	0.66	0.60	0.36	0.55	0.79
KNNC	5.75	0.87	0.13	0.82	0.73	0.82	0.91
EC	18.30	0.98	0.68	0.89	0.84	0.89	0.95
Results of the testing dataset
ANNC	9.65	0.96	0.94	0.88	0.82	0.88	0.94
SVM	4.71	0.93	0.86	0.80	0.69	0.79	0.89
NBC	8.44	0.89	0.80	0.74	0.61	0.74	0.87
KNNC	22.93	0.88	0.09	0.85	0.77	0.85	0.92
EC	0.43	0.96	0.71	0.86	0.82	0.86	0.93

Model	logLoss	AUC	prAUC	Accuracy	Kappa	Sensitivity	Specificity
Results of the training dataset
ANNC	0.56	0.94	0.82	0.84	0.75	0.84	0.92
SVM	0.51	0.93	0.81	0.80	0.69	0.79	0.89
NBC	2.46	0.86	0.66	0.60	0.36	0.55	0.79
KNNC	5.75	0.87	0.13	0.82	0.73	0.82	0.91
EC	18.30	0.98	0.68	0.89	0.84	0.89	0.95
Results of the testing dataset
ANNC	9.65	0.96	0.94	0.88	0.82	0.88	0.94
SVM	4.71	0.93	0.86	0.80	0.69	0.79	0.89
NBC	8.44	0.89	0.80	0.74	0.61	0.74	0.87
KNNC	22.93	0.88	0.09	0.85	0.77	0.85	0.92
EC	0.43	0.96	0.71	0.86	0.82	0.86	0.93